PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON

Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data. The implementation of Poisson Regression can not be applied on this data because the data having overdispersion, that will lead to underestimate t...

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Main Authors: DESAK PUTU PRAMI MEITRIANI, KOMANG GDE SUKARSA, I PUTU EKA NILA KENCANA
Format: Article
Language:English
Published: Universitas Udayana 2013-05-01
Series:E-Jurnal Matematika
Subjects:
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/6290
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author DESAK PUTU PRAMI MEITRIANI
KOMANG GDE SUKARSA
I PUTU EKA NILA KENCANA
author_facet DESAK PUTU PRAMI MEITRIANI
KOMANG GDE SUKARSA
I PUTU EKA NILA KENCANA
author_sort DESAK PUTU PRAMI MEITRIANI
collection DOAJ
description Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data. The implementation of Poisson Regression can not be applied on this data because the data having overdispersion, that will lead to underestimate the standard error. Thus, use Quasi-Likelihood regression on this data. Quasi-Likelihood regression was also could not handle the overdispersion, but Quasi-Likelihood regression can improve the value of the standard error becomes greater than the value of the standard error on Poisson regression. Thus, by using the Quasi-Likelihood regression obtained three independent variables that affect the number of divorce cases in each urban city of Denpasar in 2011.
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spelling doaj.art-5a5b33552daa44b8aa09e141e751b0d32022-12-21T19:19:31ZengUniversitas UdayanaE-Jurnal Matematika2303-17512013-05-0122374110.24843/MTK.2013.v02.i02.p0366290PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSONDESAK PUTU PRAMI MEITRIANI0KOMANG GDE SUKARSA1I PUTU EKA NILA KENCANA2Faculty of Mathematics and Natural Sciences, Udayana UniversityFaculty of Mathematics and Natural Sciences, Udayana UniversityFaculty of Mathematics and Natural Sciences, Udayana UniversityPoisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data. The implementation of Poisson Regression can not be applied on this data because the data having overdispersion, that will lead to underestimate the standard error. Thus, use Quasi-Likelihood regression on this data. Quasi-Likelihood regression was also could not handle the overdispersion, but Quasi-Likelihood regression can improve the value of the standard error becomes greater than the value of the standard error on Poisson regression. Thus, by using the Quasi-Likelihood regression obtained three independent variables that affect the number of divorce cases in each urban city of Denpasar in 2011.https://ojs.unud.ac.id/index.php/mtk/article/view/6290Poisson RegressionOverdispersionQuasi-Likelihood Regressionstandard error
spellingShingle DESAK PUTU PRAMI MEITRIANI
KOMANG GDE SUKARSA
I PUTU EKA NILA KENCANA
PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
E-Jurnal Matematika
Poisson Regression
Overdispersion
Quasi-Likelihood Regression
standard error
title PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
title_full PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
title_fullStr PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
title_full_unstemmed PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
title_short PENERAPAN REGRESI QUASI-LIKELIHOOD PADA DATA CACAH (COUNT DATA) YANG MENGALAMI OVERDISPERSI DALAM REGRESI POISSON
title_sort penerapan regresi quasi likelihood pada data cacah count data yang mengalami overdispersi dalam regresi poisson
topic Poisson Regression
Overdispersion
Quasi-Likelihood Regression
standard error
url https://ojs.unud.ac.id/index.php/mtk/article/view/6290
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